The 2nd International Conference on recent trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC-24) is focused on research and emphasizes on the latest technological advancements. The conference aims to provide outstanding opportunities for both academic and industrial communities to address new trends and challenges and emerging technologies on the topics relevant to today’s fast-moving areas in the fields of Microelectronics, Automation, Computing and Communications Systems, and so on. The conference comprises of keynote addresses, invited talks, refereed paper and poster presentations, pre-conference tutorials, product exhibitions, and panel discussions. The vision of the ICMACC-24 is to promote brainstorming and collaboration so that critical issues pertaining to individual research activities can be addressed and ideas can be exchanged through extensive discussions. The conference focuses on specific engineering streams, allowing the speakers to dwell deep into the issues and ensure actionable information that can put to use the very next day.

The conference is technically co-sponsored by IEEE Hyderabad Section and is approved by IEEE with the conference ID: #62921

The scope of this Conference is aimed to raise and disseminate awareness about emerging research areas, issues, and success stories in various aspects of VLSI, IoT, Communication, Automation, Signal Processing, Biomedical Engineering, and Computing applications.

All accepted and presented papers in ICMACC 2024 will be submitted to IEEE for further quality/scope check and review. Papers passing the final review will be published by the IEEE Xplore (IEEE’s digital repository, which is Scopus and Google Scholar Indexed). The best papers in each track will be selected for awards by ICMACC.

Prospective authors are invited to submit original research papers (not being considered for publication elsewhere) in standard IEEE conference template (https://www.ieee.org/conferences/publishing/templates.html) describing new theoretical and/or experimental research results in the following broad areas (but not limited to):

Circuits and Systems

Aims to bring together researchers from academia and industry to discuss technical challenges, exchange novel ideas, and report on their latest research in the VLSI design of integrated circuits and systems, Power systems and power electronics. Emphasis on emerging applications towards Industry 4.0and the digital transformations. The track covers a broad range of VLSI areas including design, design methodologies, tools, testing, verification, reliability, and low power and High-performance designs. Also, it covers the design of MEMS, power electronics and power systems. The main topics of this track include, but are not limited to:

    VLSI design of integrated circuits and systems
    Power systems and power electronics
    Low power and High-performance designs
    Analog, Digital, Mixed signal and RF circuits
    Semiconductor modelling techniques and fabrication
    Logic, Architectural and System level synthesis
    Design for Testability
    Speed, Power, Area, and thermal analysis of VLSI designs
    MEMS, MOEMS and NEMS
    Power Systems and Energy Engineering
    Transmission and Distribution System and Apparatus
    Power Electronics & Energy Efficient Drives
    Renewable Power Conversion Technologies

Robotics, Automation & Internet of Things

The scope of this track is to bring together the global community of experts to discuss the state of art for new research findings and innovative applications. This track also focuses on challenges facing in robotics and automation related to IoT and industry applications.This track also focuses on challenges facing in robotics and automation related to IoT and industry applications. The following is the list of topics, but not limited to:

    Industry 4.0
    Smart Sensors & Implantable sensors
    Nonlinear Systems and Control
    Robot Dynamics and Control
    Industrial Automation
    Intelligent process manufacturing and Production scheduling
    Manufacturing Engineering
    IoT enabling technologies
    Industrial Internet of Things
    Web of Things
    Fog/Edge Computing to IoT
    IoT Security and Block Chain for IOT
    Data analytics for IOT
    IOT for Health care
    IOT Communication protocols

Communications, Sensors and Mobile Networking

“Smart” is a transpiring term surfaced always in the context of the evolving Communication technologies and has the potential to revolutionize the related research domains. The focal point of this track is on addressing the research topics of wireless communication systems across multiple levels, ranging from hardware, interfaces, protocols, applications, and services to improve security, trust, and privacy in smart sensors, IoT devices, wearable devices, smart appliances, connected cars and 5G connected infrastructure. This will bring together various communication system developers to discuss the status, technical challenges, standards, fundamental issues, future services and applications. Broadly the main thrust areas of this track are listed below but not limited to:

    Next generation Ad-hoc, Mobile and Sensor Networks
    Seamless heterogeneous wireless networks
    Satellite and Space Communications
    5G/6G Wireless Technologies
    MIMO, Massive MIMO, mm Wave MIMO
    Software-Defined Networking (SDN)
    Green and energy efficient wireless networks
    Smart Antennas

Signal, Image, and Multimedia Processing

The track welcomes submissions related to the practical and theoretical issues related to developing and deploying systems with constant evolution in Signal, Image, and Multimedia Processing techniques. It focuses on recent research in computer vision, image processing, pattern recognition, deep learning, speech and agriculture applications. The main topics include, but not limited to :

    Biomedical Signal Processing and Systems
    Emerging Technologies in Digital Signal Processing
    AI for Image and Signal Processing
    Image and Video Processing
    Signal Processing for Big Data
    Multimedia Signal Processing
    Sensor Array & Multichannel Signal Processing
    Signal Processing for Communication & Networking
    Speech Recognition and Processing
    Agriculture Processing

Computational Intelligence and Computing

Computational Intelligence and Computing Technologies refer to a broad area of research and applications that encompass various computational methods and techniques to solve complex problems and mimic human-like intelligence. It combines elements of artificial intelligence, machine learning, optimization, and other computational approaches to develop intelligent systems and algorithms. The field of Computational Intelligence includes several subfields and techniques. This track includes the following key areas within Computational Intelligence and Computing Technologies, but are not limited to:

    Algorithms
    Programming Languages
    Computing Architectures and Systems
    Computer Graphics, Vision and Animation
    Software and Database System
    Multimedia Engineering
    Networks, IoT and Cyber Security
    Cluster, Cloud, & Grid Computing
    Data Mining
    Neural Networks and Deep Learning
    Meta heuristic algorithms
    Machine Learning
    Business Intelligence
    Human Computer Interface
    Crowd Sourcing & Social Intelligence

Data Science Engineering

The Data Science Engineering conference track focuses on the engineering aspects of data science, including the development, deployment, and management of data science systems and solutions. This track emphasizes the practical implementation and real-world applications of data science techniques and methodologies. Here are some key areas that are typically covering in this track but are not limited to:

    High Performance Computing
    Computational Biology & Bioinformatics
    Data Centric Programming
    Data Modelling & Semantic Engineering
    Data, Text, Web Mining, & Visualization
    Domain Specific Data Management
    Knowledge Engineering

Power, Energy and Power Electronics

The Power, Energy, and Power Electronics conference track focuses on various aspects related to power systems, energy generation, transmission, distribution, and the application of power electronics in these areas. This track covers a wide range of topics related to power engineering, energy systems, and power electronics. Here are some key areas typically covered in this track, but are not limited to:

    Power Generation, Transmission and Distribution
    Renewable Energy Sources and Technology
    High Voltage Engineering, HVDC-FACTS
    Switching Circuits & Power Converters
    Power System Monitoring, Control and Protection
    Micro Grids& Distributed Generation
    Control Communication and Monitoring of Smart Grid
    Energy Storage System

Additive Manufacturing

3D printing or additive manufacturing is the construction of a three-dimensional object from a CAD model or a digital 3D model. It can be done in a variety of processes in which material is deposited, joined or solidified under computer control, with material being added together (such as plastics, liquids or powder grains being fused), typically layer by layer. This conference track focuses on all such 3D models. Here are some key areas typically covered in this track, but are not limited to:

    Materials and Processes
    Design for Additive Manufacturing
    Industrial Applications and Case Studies
    Process Optimization and Control
    Metrology and Quality Assurance
    3D printing of electronics, bioprinting, advances in machine hardware and software
    3D Printing in Health Care & Medicine

Emerging Education Technologies

Emerging Education Technologies track provides scope for researchers and academicians to present ideas and their work for integrating the tools into the classroom to make the learning process much easier. Technology simplifies the way teachers do their jobs, providing effective ways to forge a relationship between teacher and student. It focuses on connecting engineering teachers and administrators across the globe to share best practices. Thereby learn to transform their own institutional efforts to prepare engineering graduates who can address global challenges as well as targeted initiatives of the Indian Government. Authors are encouraged to describe the implementation of active learning strategies that provided opportunities to hone higher order thinking and professional skills. The papers related to the following, but are not limited to:

    Blooms Taxonomy
    Assessment to Enhance and Demonstrate Graduate Attributes
    Best practices in Teaching and Learning
    Entrepreneurship and Engineering Innovation
    Creating Industry-institute collaboration
    Learning driven by Technology
    Leveraging Government initiatives
    Online teaching pedagogies
    Project based learning
    Revolution of diversity issues
    Open Source: Challenges and opportunitiesBlooms Taxonomy